Titlebook: Business Process Management Workshops; BPM 2017 Internation Ernest Teniente,Matthias Weidlich Conference proceedings 2018 Springer Internat

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书目名称Business Process Management Workshops影响因子(影响力)




书目名称Business Process Management Workshops影响因子(影响力)学科排名




书目名称Business Process Management Workshops网络公开度




书目名称Business Process Management Workshops网络公开度学科排名




书目名称Business Process Management Workshops被引频次




书目名称Business Process Management Workshops被引频次学科排名




书目名称Business Process Management Workshops年度引用




书目名称Business Process Management Workshops年度引用学科排名




书目名称Business Process Management Workshops读者反馈




书目名称Business Process Management Workshops读者反馈学科排名

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1865-1348 siness Process Management; SPBP 2017 – 1st Workshop on Security and Privacy-enhanced Business Process Management; TAProViz-PQ-IWPE 2017 –Joint International BPM978-3-319-74029-4978-3-319-74030-0Series ISSN 1865-1348 Series E-ISSN 1865-1356

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https://doi.org/10.1007/978-3-531-91035-2time required by the feature selection algorithm must also be taken into account. Also, the classification accuracy should not suffer too much from the feature selection. The main contributions of this paper are as follows: First, we propose and compare six different feature selection algorithms by

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Medienpolitik in den 80er JahrenT service provider, where problem reports often comprise an email-based conversation in multiple languages. We demonstrate how today’s commercially available cognitive services struggle to correctly analyze this data unless they use background ontological knowledge. We further discuss a pattern- and

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https://doi.org/10.1007/978-3-531-91035-2given a log, can we determine . whether the log is best suited for imperative or declarative mining? We propose using the concept of entropy, commonly used in information theory. We consider different measures for entropy that could be applied and show through experimentation on both synthetic and r

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kindred

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Towards Intelligent Process Support for Customer Service Desks: Extracting Problem Descriptions fromT service provider, where problem reports often comprise an email-based conversation in multiple languages. We demonstrate how today’s commercially available cognitive services struggle to correctly analyze this data unless they use background ontological knowledge. We further discuss a pattern- and